
Software used: Stata MP/16.0
Operating sysytem: Windows Microsoft

Readme file for:"The Consumption Response to Minimum Wages: Evidence from Chinese Households"

Access to data:

Most administrative data of county level minimum wage data can only be obtained by the Chinese Ministry of Human Re-sources (CMHR) in our sample. What we can do is to provide the data with county code for those who might be interested in replicating our work to get access to this data via us. Specifically, we can assist them to access the data at Fudan university or at the European Central Bank. 
In addition, as the Urban Household Survey (UHS) data is confidential, we could provide a way for readers to replicate our results.  Interested readers can contact us to set up a computer at Fudan University or the European Central Bank to access the data (for replication purpose only). For data editor, we can provide remote access directly to verify all codes and data in this paper. Finally, we follow the editor’s advice to declare the data sources.

Contact  persons:

Yi Huang
ABFER, CEPR and Luohan Academy
Professor of Finance, Fudan University
huang_y@fudan.edu.cn

Ernest Dautović 
EUROPEAN CENTRAL BANK 
Kaiserstraße 29,
60311 Frankfurt am Main
Email: ernest.dautovic@ecb.europa.eu




Replication files (in chronological order of execution):

prep.do

This is a .do file for Stata and it loads the source data and computes, describes and labels the variables used in the paper. It develops then the final daste used in the paper.

DESCRIPTION of prep.do: 
       1. merging Household and personal datasets, then Min Wage
	   2. adjust for UHS waves of surveys
	   3. merge with cpi index data and create real values fro wage and income
	   4. refine the sample following Ge and Yang JEEA, and French et al.
	   5. drop workers observed only once and define treated workers' group 
	   6. identify HH observed only once and with only one observation in the first year they are surveyed
	   7. compute the share of minimum wage within HH
	   8. Merge with County and City datasets 
	   9. prepare variables for regression
	   10. count how many HH observed between 2003/2004 for sharp diff in diff
    


Figure_1.do
this is a .do file for generating Figure 1

Figure_2.do
this is a .do file for generating Figure 2

Table_1.do
this is a .do file for generating Table 1

Table_2.do
this is a .do file for generating Table 2

Table_3.do
this is a .do file for generating Table 3

Table_4.do
this is a .do file for generating Table 4

Table_5.do
this is a .do file for generating Table 5

Table_6.do
this is a .do file for generating Table 6



Source datasets:

02-09household data.dta
This is a data file containign the household level data on income and consumption, as well as household composition

02-09personal data.dta
This is teh data file at individual level containing data on individual wages

minwage2_county2.dta
This is a data file that has minimum wages at county level

minwage2_city.dta
This is a data file that has minimum wages at city level

minwage2_prov.dta
This is a data file that has minimum wages at province level

02-09prov_cpi.dta.dta
This is a data file for province level CPI

B2_correct.dta
This is the main data used in the paper after the cleaning procedure executed in prep.do


